The accommodation and support needs of people with a mental illness: A process and framework for action

Abstract

This paper reports the results of a consumer-focused assessment of the accommodation and support needs of people with a mental illness living in a regional city. The study utilises a 'pathway to stability' approach to assess the phase-contingent accommodation and support needs of mental health consumers through interviews and focus groups with consumers, carers and service providers. The study identifies five broad phases of the life course impacted by mental illness—beginnings, long-term needs become clearer, instability as needs evolve, finding stability and ongoing. Five key issues—information, self-competence, comorbidity, coordination and flexibility were expanded upon in focus groups. Principles for planning future service delivery are identified. The implications of the findings and research methodology for social work practice and research are discussed.     

Using Secondary Data for Grounded Theory Analysis

Abstract

Grounded theory is well utilised in qualitative research for building theoretical understanding of complex social processes. Grounded theory data analysis strategies can be used with different types of data, including secondary data. Despite the potential advantages of secondary data, it is rarely used for grounded theory studies, largely due to a perception that researchers are unable to follow the guidelines of this research design with data that they themselves have not collected. This paper demonstrates the use of secondary data in a study investigating the substantive area of Indigenous empowerment. Potential pitfalls and advantages of using grounded theory methods to analyse secondary data are discussed, as well as factors that facilitated the analytic process in this study. These factors included having a large data set across multiple sites and the use of literature as a source of data. The findings provide a valuable model for combining research and practise.     

Conversion Ratios, Efficiency and Obfuscation: A Study of the Impact of Changed UK Charity Accounting Requirements on External Stakeholders

Key stakeholders in the UK charity sector have, in recent years, advocated greater accountability for charity performance. Part of that debate has focussed on the use of conversion ratios as indicators of efficiency, with importance to stakeholders being contrasted with charities’ apparent reluctance to report such measures. Whilst, before 2005, conversion ratios could have been computed from financial statements, changes in the UK charity SORP have radically altered the ability of users to do this. This article explores the impact on the visibility of such information through an analysis of the financial statements of large UK charities before and after the 2005 changes. Overall, the findings suggest that, despite the stated intention of increasing transparency in respect of charity costs, the application of the changes has resulted in charities ‘managing’ the numbers and limiting their disclosures, possibly to the detriment of external stakeholders.     

Breaking the in‐group out‐group: shifting boundaries in transnational partner choice processes of individuals of Moroccan,Tunisian, Algerian,Turkish, Punjabi Sikh,Pakistani and Albanian descent in Belgium

The ongoing popularity in some second and third generation migrants in Western Europe of marrying a partner from the countries of origin of their (grand)parents is considered to be problematic for micro and macro level societal integration of some migrant populations. Partner choice and marriage practices in migrant communities are problematized in public, media and political discourses by discriminating them from marriage practices in the ‘native’ population on the basis of three related dichotomies: (1) agency versus structure, (2) us versus them and (3) romantic versus instrumental marriage intentions dichotomies. By means of in‐depth qualitative research methodologies on the partner choice processes of women and men of Turkish, Moroccan, Algerian, Tunisian, Punjabi Sikh, Pakistani and Albanian descent in Belgium and an intersectional theoretical approach, this article aims to deconstruct popular and simplifying dichotomous representations of partner choice processes in these migrant populations. Our study reveals how religious, gender and social class boundaries are stretched to meet personal/individual desires and preferences. Individuals do experience social restrictions when it concerns social group boundaries and the potential partners that they can look for. At the same time individuals are never fully determined by their social environment, they creatively develop strategies to by‐pass certain restrictions and to some extent are able to meet their personal needs while being sensitive to the desires of their social environment.     

Regimes of Mobility Across the Globe

Mobility studies emerged from a postmodern moment in which global ‘flows’ of capital, people and objects were increasingly noted and celebrated. Within this new scholarship, categories of migrancy are all seen through the same analytical lens. This article and Regimes of Mobility: Imaginaries and Relationalities of Power, the special issue of JEMS it introduces, build on, as well as critique, past and present studies of mobility. In so doing, this issue challenges conceptual orientations built on binaries of difference that have impeded analyses of the interrelationship between mobility and stasis. These include methodological nationalism, which counterpoises concepts of internal and international movement and native and foreigner, and consequently normalises stasis. Instead, the issue offers a regimes of mobility framework that addresses the relationships between mobility and immobility, localisation and transnational connection, experiences and imaginaries of migration, and rootedness and cosmopolitan openness. The introduction highlights how, within this framework and its emphasis on social fields of differential power, the contributors to this collection ethnographically explore the disparities, inequalities, racialised representations and national mythscapes that facilitate and legitimate differential mobility and fixity. Although the authors examine nation-state building processes, their analysis is not confined by national boundaries.     

Patterns of Social Support in the Middle Childhood to Early Adolescent Transition: Implications for Adjustment

Children's social networks often include close family members, extended family members, and friends, but little is known about interindividual differences in the patterning of support from these sources. In this study, we used person‐oriented analyses to differentiate patterns of support for children undergoing the transition to adolescence. Social network and adjustment data were collected for an ethnically diverse sample of 691 fourth‐ and sixth‐grade children, with a two‐year follow‐up. Cluster analyses identified one pattern of support from both close family members and friends, a second pattern of support from both close and extended family members, and a third pattern of support primarily from close family members alone. Participants receiving support from close family in combination with either extended family or friends were better adjusted than were those without multiple support resources. The results suggest that a meaningful typology of children's social networks can be developed.     

Returning to Normality: Substance Users' Work Histories and Perceptions of Work During and After Recovery

Correspondence to Andreas Cebulla, National Centre for Social Research, 35 Northampton Square, London EC1V 0AX, UK. E-mail: a.cebulla{at}natcen.ac.uk Summary New service provisions designed to improve the employment prospectsof former substance users will enhance the roles and responsibilitiesof Drug Action Teams (DATs), Jobcentre Plus offices and otherproviders and co-ordinators of support services for substanceusers. This paper discusses the findings of a study of 30 currentand former drug and alcohol users, exploring past substanceuse histories and current employment aspirations. The researchinforms new policy initiatives designed to assist substanceusers’ entry or return to work. Differences in presentperceptions of work-readiness were observed, which reflectedusers’ perceptions of the nature of their addiction. Theattribution of blame for the substance dependency to either‘the drug’ or the individual’s psychologywas a critical influence on users’ work-readiness assessments.Work was perceived to benefit recovery from substance dependency.The evidence suggests that substance users’ return towork might be helped by their staged (re-) introduction to thelabour market as well as encouraging the primary labour marketto employ (more) recovering substance users. The research highlightedthe need for joint working between employment services and DATsto help substance users into work and to support their recovery.It also highlighted the need for mutual understanding and recognitionof each collaborator’s expertise.     

A few statistical principles for data science

In any other circumstance, it might make sense to define the extent of the terrain (Data Science) first, and then locate and describe the landmarks (Principles). But this data revolution we are experiencing defies a cadastral survey. Areas are continually being annexed into Data Science. For example, biometrics was traditionally statistics for agriculture in all its forms but now, in Data Science, it means the study of characteristics that can be used to identify an individual. Examples of non-intrusive measurements include height, weight, fingerprints, retina scan, voice, photograph/video (facial landmarks and facial expressions) and gait. A multivariate analysis of such data would be a complex project for a statistician, but a software engineer might appear to have no trouble with it at all. In any applied-statistics project, the statistician worries about uncertainty and quantifies it by modelling data as realisations generated from a probability space. Another approach to uncertainty quantification is to find similar data sets, and then use the variability of results between these data sets to capture the uncertainty. Both approaches allow ‘error bars’ to be put on estimates obtained from the original data set, although the interpretations are different. A third approach, that concentrates on giving a single answer and gives up on uncertainty quantification, could be considered as Data Engineering, although it has staked a claim in the Data Science terrain. This article presents a few (actually nine) statistical principles for data scientists that have helped me, and continue to help me, when I work on complex interdisciplinary projects.